Data Analyst & Data Modeler – Product & Insurance Risk (Ontario)

Data Analyst & Data Modeler – Product & Insurance Risk (Ontario)

08 Aug
|
RobertsonLtd.
|
Ontario

08 Aug

RobertsonLtd.

Ontario

Job Overview
Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional & corporate, wealth management, private clients, commercial banking, treasury, and retail banking.

Contract Details

Contract Period: 7 months with potential to extend

Pay Rate: Starting from $50 per hour

Location: Toronto, ON

Location Type: Hybrid

Business Hours: Monday-Friday; core business hours

Job Responsibilities

Analyze and document business processes for insurance product development, underwriting assessments, risk scoring, reinsurance allocations, and claims

Collaborate with actuarial, underwriting, risk, and claims teams to capture requirements

Translate complex insurance risk rules into detailed Business Requirements

Analyze and model data related to insurance products, underwriting risk scores, reinsurance structures, and claims lifecycle events

Develop conceptual, logical, and physical data models supporting insurance risk analytics and reporting layers

Support development and enhancement of Product & Insurance Risk frameworks that align with regulatory expectations and internal governance

Assist in mapping reinsurance treaties, ceded and assumed reinsurance rules, and integration touchpoints across policy admin, underwriting, and claims systems

Document reinsurance business processes, bordereaux reporting requirements, and quality assurance checkpoints

Data Mapping, Analytics & Reporting

Develop source-to-target mappings for underwriting, reinsurance, and claims datasets across multiple systems (PAS, CRM, Rating Engines, Claims Platforms)

Support data quality checks, lineage documentation, and risk metric definitions (e.g., underwriting leakage,



claims ratios, reinsurance, over retention)

Perform SQL-based data analysis to support underwriting rules, reserving calculations, risk exposure reporting, and claims trend analysis

Systems, Platforms & Agile Delivery

Work with cross-functional Agile squads to design workflows, integrations, and platform enhancements supporting underwriting, reinsurance, or claims

Participate in sprint planning, backlog refinement, and product grooming sessions

Collaborate with architects and developers to validate technical feasibility of requirements and ensure alignment with architectural patterns

Serve as a primary liaison between business units (Underwriting, Actuarial, Claims, Reinsurance Operations) and IT delivery teams

Coordinate with third-party vendors (reinsurance platforms, claims systems, fraud analytics tools, etc.) to support integration and system configuration activities

Facilitate workshops, requirement walkthroughs, and UAT cycles to ensure clarity, completeness, and alignment

Power BI & Fabric Analytics Solutions

Design and develop enterprise‑scale Power BI solutions, including semantic models (star schema, dimensional models)

Complex DAX measures and calculation groups

Build and manage Power BI Premium capacity and workspace architecture

Capacity planning and optimization

Deployment pipelines (Dev/Test/Prod)





Row‑level security (RLS) and object‑level security (OLS)

Design and implement Fabric‑based analytics solutions

Lakehouse/Warehouse modelling

Delta tables and medallion architecture (Bronze/Silver/Gold layers)

Semantic model integration with Power BI

Optimize datasets for large‑scale, near real‑time analytics across insurance risk domains

Experience & Qualifications

Bachelor’s degree in information technology, Business Administration, Insurance required

5 years of data analyst experience

Proven experience as a Power BI Developer, with up‑to‑date knowledge of the latest Power BI features and enhancements

Strong proficiency in SQL and DAX for data transformation, querying, and advanced calculations

Solid expertise in data modeling, including designing effective and scalable semantic models

Skilled in data analysis, with the ability to derive actionable insights from complex datasets

Experience implementing and managing controls within Power BI, including governance, security, and performance optimization

Domain experience in the insurance industry is an asset

Robertson & the clients we represent are equal opportunity employers, committed to diversity and inclusion. Robertson is a certified diverse supplier and actively seeks to foster a representative and inclusive workforce. We welcome applications from all qualified individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, Aboriginal status, or any other legally protected factors. We champion building a diverse and inclusive environment.

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📌 Data Analyst & Data Modeler – Product & Insurance Risk (Ontario)
🏢 RobertsonLtd.
📍 Ontario

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